Defect Analytics Systems Engineer for Yield & Automation

Intel; Leixlip; On-site; EUR 59,000 - 111,000; Full time

Job summary

Intel in Ireland (Leixlip) is seeking a Defect Analysis Systems Engineer to lead design, development, and optimization of data systems for yield improvement in semiconductor manufacturing. You will own data workflows, automation, and analytics to enhance defect detection and root-cause analysis.

Collaborating with engineering, manufacturing, quality, and automation teams, you will implement AI/ML for classification and prediction, drive process improvements, and ensure lasting impact across

Qualifications

• Bachelor's degree in a Science or Engineering field.
• 4+ years in engineering, automation, data, or software-enabled manufacturing.
• Proficiency in Python for automation and data processing.
• Strong SQL knowledge for data extraction and analysis.
• Experience with JMP or Power BI for data visualization.
• Experience using GitHub for version control and CI/CD.

Responsibilities

• Lead design, development, and optimization of data systems for defect analysis.
• Develop automation frameworks to reduce variation and improve yield.
• Collaborate with engineering, manufacturing, quality, and automation teams.
• Apply AI/ML concepts to enhance classification and predictive analytics.

Skills

Python automation

SQL data extraction

Data analysis

Power BI

GitHub CI/CD

Analytical skills

Education

Bachelors or higher in Science/Engineering

Tools

JMP

Power BI

Python libraries

GitHub

Job description

Intel in Ireland (Leixlip) is seeking a Defect Analysis Systems Engineer to lead design, development, and optimization of data systems for yield improvement in semiconductor manufacturing. You will own data workflows, automation, and analytics to enhance defect detection and root-cause analysis.

Collaborating with engineering, manufacturing, quality, and automation teams, you will implement AI/ML for classification and prediction, drive process improvements, and ensure lasting impact across